Fairy Brides from Heaven: Mate Selection in Rural China, 1949-2000
Bibliographic record
Abstract
We investigated how men and women in rural China actively responded to macro-level government interventions with their marriage choices across three historical periods: nascent socialism, the Cultural Revolution, and the era of market reform. We outlined major shifts in ideological foci and redistributive policies and linked these macro-level “shocks” to detailed life history narratives (N = 42 spouses from 38 marriages) to explore changing meanings of gender preferences and the availability of preferred partners in the marriage market. The qualitative analysis revealed that the preferences of women and men for spouses with particular characteristics remained relatively stable over time: women used marriage as a vehicle for economic security and men sought brides who would be good homemakers and mothers. However, the shifting economic and political climate influenced the types of individuals endowed with essential resources and thus changed the characteristics most coveted in the marriage market across periods.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".